Make smarter data-driven decisions at scale

“Running one query in general on Google BigQuery doesn’t cost a lot of money, but when you are talking about the amount of data users we have that are running queries concurrently, it’s important to run queries as efficiently as possible. AtScale helps us reduce the amount of processing in Google BigQuery which saves us money.”

“Tyson Foods leverages AtScale for OLAP use cases on Google Big Query across a number of the company’s mission-critical business functions. AtScale’s Cloud OLAP and Autonomous Data Engineering capabilities seamlessly deliver interactive query response times while minimizing load and improving concurrency across all of our operational data.”

“One of our top priorities was to have the ability to run rapid-fire, multi-dimensional analytics at large scale, directly from the BI tools our data users prefer. With AtScale, users can run live queries, straight to Google BigQuery at great speeds. It is not something that we saw anyone else able to deliver.”

“AtScale’s ability to automatically create and manage highly efficient aggregates is critical to our success. Before we had AtScale, query performance was too slow. To reach AtScale’s level of efficiency and speed, we would have needed to devote significant time and resources to building aggregates by hand.”